Bioinformatics – Telegram
Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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Free Online Book for
📖Biomedical Data Science

🖇http://genomicsclass.github.io/book/

Channel: @Bioinformatics
🧑‍🏫*NGS Data Analysis Workshop*
Learn the most demanded skill in Bioinformatics without the need to code!!

*When :* 19 - 22 April | 6:30 to 8:30 PM IST

💵 *Fee :* Rs 1000 for Indian Nationals | USD 20 for Foreign Nationals

All sessions will be conducted on Zoom
Recording for each session will be shared with the participants
E-Certificate will be provided to all the participants

ℹ️ Click here to know more and register

📲Channel: @Bioinformatics
🏥 Building the learning ecosystem of health:
from data tracking to preventive medicine

https://www.youtube.com/watch?v=0oHGSeC25Pk

share your ideas at the ELIXIR Innovation and SME Forum, organized on 13 September 2021 as part of the BC2 Basel Computational Biology Conference.

Abstract submission deadline: 16 April

ℹ️ More information: https://www.bc2.ch/elixir-forum

📲Channel: @Bioinformatics
💽 Sharing biological data: why, when, and how

https://febs.onlinelibrary.wiley.com/doi/10.1002/1873-3468.14067

💥Here, you can see good practices to make your biological data publicly accessible and usable, generally and for several specific kinds of data.

📲 Channel: @Bioinformatics
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📘 Data Analysis and Visualization in R

These online lessons below were designed for those interested in working with genomics data in R. This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R

🔗https://datacarpentry.org/R-genomics

📲Channel: @Bioinformatics
👩‍💻 Sample practical research of genome-wide association study using microarray gene expression

https://www.sciencedirect.com/science/article/pii/S1319562X21002825

📲Channel: @Bioinformatics
👨‍🏫 Registration is open for three week Bioinformatics workshop for
💥Cancer Biomarker Discovery💥

✍️ Registration Link
https://decodelife.org
📧Or contact
decodelife.org@gmail.com

💲 Fees: Rupees 1000 For Indian Participant. / Dollar 20 (USA) for Foreign Participant.
We have kept nominal fees in order to ensure that only serious candidates participate.

💥Key Features :
▫️E- Certificate of participation
▫️Global Instructors
▫️Videos access for all sessions

📲Channel: @Bioinformatics
👨‍🏫 NIH Data Science Seminar Series
An Algorithm for Inferring Kinase Activity from Patient Phosphoproteomic Data

🆓
Free and Virtual

🗓 Wednesday, May 19, 2021 11:00 am
Eastern Daylight Time (New York, GMT-04:00)

✍️ Register here

ℹ️ More information

📲Channel: @Bioinformatics
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🧑‍💻 A practical tutorial with a metagenomic approach
🔹 for laboratory biologists with no previous knowledge of bioinformatics

🔹Learn to use use four bioinformatics web applications (BLASTp, Clustal Omega, Cons, Reverse Translate) and two biochemical databases (UniProt and BRENDA)
for identification of a novel bacterial enzyme from a seawater metagenomic sample

🖇 Study the tutorial

📲Channel: @Bioinformatics
🧾 Gene Inference and Analysis Workflow
(A): Expression data generation platform (B): In-silico inference of networks (C): Post inference
network analysis

📓 Source: Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms, 2020

📲
Channel: @Bioinformatics
💻 Deep Learning for Biological network analysis

https://academic.oup.com/bib/article/22/2/1515/5964185

📲Channel: @Bioinformatics
📃 Application of Multilayer Network Models in Bioinformatics

https://www.frontiersin.org/articles/10.3389/fgene.2021.664860/full

📲Channel: @Bioinformatics
😷COVID-19 drug repurposing
using artificial intelligence and machine learning in network medicine

https://www.pnas.org/content/118/19/e2025581118

📲Channel: @Bioinformatics